9783540219682-3540219684-Mobile Robots in Rough Terrain: Estimation, Motion Planning, and Control with Application to Planetary Rovers (Springer Tracts in Advanced Robotics, 12)

Mobile Robots in Rough Terrain: Estimation, Motion Planning, and Control with Application to Planetary Rovers (Springer Tracts in Advanced Robotics, 12)

ISBN-13: 9783540219682
ISBN-10: 3540219684
Edition: 2004
Author: Karl Iagnemma, Steven Dubowsky
Publication date: 2004
Publisher: Springer
Format: Hardcover 123 pages
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Book details

ISBN-13: 9783540219682
ISBN-10: 3540219684
Edition: 2004
Author: Karl Iagnemma, Steven Dubowsky
Publication date: 2004
Publisher: Springer
Format: Hardcover 123 pages

Summary

Mobile Robots in Rough Terrain: Estimation, Motion Planning, and Control with Application to Planetary Rovers (Springer Tracts in Advanced Robotics, 12) (ISBN-13: 9783540219682 and ISBN-10: 3540219684), written by authors Karl Iagnemma, Steven Dubowsky, was published by Springer in 2004. With an overall rating of 4.1 stars, it's a notable title among other books. You can easily purchase or rent Mobile Robots in Rough Terrain: Estimation, Motion Planning, and Control with Application to Planetary Rovers (Springer Tracts in Advanced Robotics, 12) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This monograph discusses issues related to estimation, control, and motion planning for mobile robots operating in rough terrain, with particular attention to planetary exploration rovers. Rough terrain robotics is becoming increasingly important in space exploration, and industrial applications. However, most current motion planning and control algorithms are not well suited to rough terrain mobility, since they do not consider the physical characteristics of the rover and its environment. Specific addressed topics are: wheel terrain interaction modeling, including terrain parameter estimation and wheel terrain contact angle estimation; rough terrain motion planning; articulated suspension control; and traction control. Simulation and experimental results are presented that show that the desribed algorithms lead to improved mobility for robotic systems in rough terrain.

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